Chronic cough—the limitation and advances in assessment techniques

Zhang, Mengru; Sykes, Dominic L.; Brindle, Kayleigh; Sadofsky, Laura R.; Morice, Alyn H.

doi:10.21037/jtd-22-874

Cited by 16 publications

(8 citation statements)

References 219 publications

(283 reference statements)

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“…33 Although no cough detection or diagnostic technology has yet achieved FDA approval, multiple cough monitoring devices, including VitaloJak and the Leicester Cough Monitor, have been used in research. 34 More recently, several app-based ventures, notably ResApp (for cough sound diagnosis) 35 and Hyfe (for cough counting), 36 have continued to develop rapidly and are likely to apply for regulatory approval for clinical use in the near future. Should this technology become clinically available, it has the potential to significantly impact the practice of otolaryngologists.…”

Section: Discussionmentioning

confidence: 99%

Cough Sounds in Screening and Diagnostics: A Scoping Review

Hegde,

Sreeram,

Alter

et al. 2023

The Laryngoscope

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ObjectiveThe aim of the study was to examine applications of cough sounds towards screening tools and diagnostics in the biomedical and engineering literature, with particular focus on disease types, acoustic data collection protocols, data processing and analytics, accuracy, and limitations.Data SourcesPubMed, EMBASE, Web of Science, Scopus, Cochrane Library, IEEE Xplore, Engineering Village, and ACM Digital Library were searched from inception to August 2021.Review MethodsA scoping review was conducted on screening and diagnostic uses of cough sounds in adults, children, and animals, in English peer‐reviewed and gray literature of any design.ResultsFrom a total of 438 abstracts screened, 108 articles met inclusion criteria. Human studies were most common (77.8%); the majority focused on adults (57.3%). Single‐modality acoustic data collection was most common (71.2%), with few multimodal studies, including plethysmography (15.7%) and clinico‐demographic data (7.4%). Data analytics methods were highly variable, with 61.1% using machine learning, the majority of which (78.8%) were published after 2010. Studies commonly focused on cough detection (41.7%) and screening of COVID‐19 (11.1%); among pediatric studies, the most common focus was diagnosis of asthma (52.6%).ConclusionThough the use of cough sounds in diagnostics is not new, academic interest has accelerated in the past decade. Cough sound offers the possibility of an accessible, noninvasive, and low‐cost disease biomarker, particularly in the era of rapid development of machine learning capabilities in combination with the ubiquity of cellular technology with high‐quality recording capability. However, most cough sound literature hinges on nonstandardized data collection protocols and small, nondiverse, single‐modality datasets, with limited external validity. Laryngoscope, 2023

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Section: Discussionmentioning

confidence: 99%

Cough Sounds in Screening and Diagnostics: A Scoping Review

Hegde,

Sreeram,

Alter

et al. 2023

The Laryngoscope

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“…Biomarkers including 24-hour cough counts and the Leicester Cough Questionnaire quantify cough severity. Gabapentin is an effective treatment, and this desensitizes cough receptors, leading to improved cough control and reduced cough frequency and severity [ 25 ].…”

Section: Reviewmentioning

confidence: 99%

Phenotype to Treatable Traits-Based Management in Chronic Obstructive Pulmonary Disease

Kumar,

Kant,

Niranjan

2024

Cureus

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Chronic obstructive pulmonary disease (COPD), a heterogeneous respiratory disease driven by various genetic and environmental factors, presents significant challenges in diagnosis and management. Traditional approaches focused on phenotypic classification, but recent paradigms emphasize identifying and addressing treatable traits to personalize treatment strategies. Treatable traits facilitate personalized interventions, optimizing symptom control, and reducing exacerbation risk. Dyspnea and exacerbations, recognized as key traits, guide treatment decisions and follow-up management. Various interventions, including bronchodilators, corticosteroids, and lifestyle modifications, target specific traits like airway inflammation, mucus overproduction, and emphysema. Strategies for assessing and addressing treatable traits during initial encounters and follow-up visits enhance disease monitoring and treatment efficacy. Comprehensive trait assessment demands resources and specialized monitoring, posing barriers to widespread implementation. The lack of standardized protocols and evolving evidence further complicates decision-making and clinical practice. Despite these challenges, the shift toward treatable traits-based management signifies a pivotal advancement in COPD care, emphasizing holistic approaches tailored to individual patient needs. Recognizing and addressing treatable traits offers personalized interventions, enhancing symptom control and disease management. Embracing treatable traits-based approaches holds promise for improving clinical outcomes and enhancing the quality of life for individuals living with COPD.

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“…There is emerging data about early, subtle signs of cancer, and some of these may be amenable to detection by electronic sensors and monitoring of behavior (see Table 1). Examples of signals for health features that could be related to cancer Sensors currently available on some smartphones or wearables Audio signals from microphones [13] • Changes in cough and breathing difficulty (associated with lung cancer) [14] •…”

Section: Potential Of Smartphones and Wearables For Early Detection O...mentioning

confidence: 99%

“Notification! You May Have Cancer.” Could Smartphones and Wearables Help Detect Cancer Early?

Scott,

Thompson

2024

JMIR Cancer

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This viewpoint paper considers the authors’ perspectives on the potential role of smartphones, wearables, and other technologies in the diagnosis of cancer. We believe that these technologies could be valuable additions in the pursuit of early cancer diagnosis, as they offer solutions to the timely detection of signals or symptoms and monitoring of subtle changes in behavior that may otherwise be missed. In addition to signal detection, technologies could assist symptom interpretation and guide and facilitate access to health care. This paper aims to provide an overview of the scientific rationale as to why these technologies could be valuable for early cancer detection, as well as outline the next steps for research and development to drive investigation into the potential for smartphones and wearables in this context and optimize implementation. We draw attention to potential barriers to successful implementation, including the difficulty of the development of signals and sensors with sufficient utility and accuracy through robust research with the target group. There are regulatory challenges; the potential for innovations to exacerbate inequalities; and questions surrounding acceptability, uptake, and correct use by the intended target group and health care practitioners. Finally, there is potential for unintended consequences on individuals and health care services including unnecessary anxiety, increased symptom burden, overinvestigation, and inappropriate use of health care resources.

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Chronic cough—the limitation and advances in assessment techniques

Cited by 16 publications

References 219 publications

Cough Sounds in Screening and Diagnostics: A Scoping Review

Cough Sounds in Screening and Diagnostics: A Scoping Review

Phenotype to Treatable Traits-Based Management in Chronic Obstructive Pulmonary Disease

“Notification! You May Have Cancer.” Could Smartphones and Wearables Help Detect Cancer Early?

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